My focus lies on the development of model-driven medical signal processing and interpretation methods. These robust methods will prove vital in monitoring of vital signs with increasingly less obtrusive devices.
Rik Vullings is Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology. He did his PhD research in the group on analysis and interpretation of the non-invasively recorded fetal electrocardiogram to aid in the timely assessment of fetal distress. This technology is now being marketed through the spinoff company Nemo Healthcare, of which Vullings is co-founder and CSO. In 2012, Vullings received a VENI grant to continue his research on pregnancy monitoring at TU/e. His research interests include biomedical signal processing and modeling, machine learning and pattern recognition. His main medical application areas are perinatology, cardiology, and somnology
Rik Vullings received his MSc in Applied Physics with distinction from Eindhoven University of Technology (TU/e) in 2005. In 2010, he obtained his PhD degree in Electrical Engineering from TU/e on the analysis and interpretation of the non-invasive fetal electrocardiogram. He stayed on at TU/e as postdoc and was appointed Assistant Professor in 2013. In 2004, Vullings took the position of researcher at Máxima Medical Center, where he worked until 2015. In 2009, he founded the spin-off company Nemo Healthcare, of which he is currently the CSO.
ST waveform analysis for monitoring hypoxic distress in fetal sheep after prolonged umbilical cord occlusionPLoS ONE (2018)
The influence of betamethasone on fetal heart rate variability, obtained by non-invasive fetal electrocardiogram recordingsEarly Human Development (2018)
Detection rate of fetal distress using contraction-dependent fetal heart rate variability analysisPhysiological Measurement (2018)
Measures of cardiovascular autonomic activity in insomnia disorder : a systematic reviewPLoS ONE (2017)
Flexible sensor matrix with dynamic channel weighting for improved estimation of the fetal heart rate by Doppler ultrasound2017 IEEE International Ultrasonics Symposium (2017)
- Signal processing basics(Signals I)
- Machine learning for signal processing
- Applied signal processing basics
- Aandeelhouder en R&D werk, Nemo Healthcare BV